| Automatic Identification of Axis Orbit Based on Both Wavelet Moment Invariants and Neural Network |
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| 作者姓名： | Fu Xiang-qian Liu Guang-lin Jiang Jing Li You-ping
School of Power and Mechanical Engineering Wuhan University Wuhan Hubei China Nanjing Automation Research Institute Nanjing Jiangshu China |
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| 作者单位： | Fu Xiang-qian，Liu Guang-lin，Jiang Jing，Li You-ping
School of Power and Mechanical Engineering，Wuhan University，Wuhan 430072，Hubei，China;
Nanjing Automation Research Institute，Nanjing 210003，Jiangshu，China |
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| 基金项目： | the Programming of the National Ministry of Education(20002175) |
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| 摘 要： | Axis orbit is an important characteristic to be used in the condition monitoring and diagnosis system of rotating machine. The wavelet moment has the invariant to the translation, scaling and rotation. A method, which uses a neural network based on Radial Basis Function (RBF) and wavelet moment invariants to identify the orbit of shaft cen-terline of rotating machine is discussed in this paper. The principle and its application procedure of the method are introduced in detail. It gives simulation results of automatic identification for three typical axis orbits. It is proved that the method is effective and practicable.
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Automatic identification of axis orbit based on both wavelet moment invariants and neural network |
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| Fu Xiang-qian,Liu Guang-lin,Jiang Jing,Li You-ping
School of Power and Mechanical Engineering,Wuhan University,Wuhan ,Hubei,China,
Nanjing Automation Research Institute,Nanjing ,Jiangshu,China.Automatic Identification of Axis Orbit Based on Both Wavelet Moment Invariants and Neural Network[J].Wuhan University Journal of Natural Sciences,2003,8(2):414-418. |
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| Authors: | Fu Xiang-qian Liu Guang-lin Jiang Jing Li You-ping |
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| Institution: | (1) School of Power and Mechanical Engineering, Wuhan University, 430072 Wuhan, Hubei, China;(2) Nanjing Automation Research Institute, 210003 Nanjing, Jiangshu, China |
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| Abstract: | Axis orbit is an important characteristic to be used in the condition monitoring and diagnosis system of rotating machine. The wavelet moment has the invariant to the translation, scaling and rotation. A method, which uses a neural network based on Radial Basis Function (RBF) and wavelet moment invariants to identify the orbit of shaft cen-terline of rotating machine is discussed in this paper. The principle and its application procedure of the method are introduced in detail. It gives simulation results of automatic identification for three typical axis orbits. It is proved that the method is effective and practicable. |
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| Keywords: | axis orbit neural network wavelet trans-form moment invariants |
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